code: def test_noncontiguous(self, batch_size, device, dtype):
      inp = torch.rand(
          batch_size, 3, 5, 5, device=device, dtype=dtype
      ).expand(batch_size, -1, -1, -1)
  
      magnitude, edges = canny(inp)
  
      assert magnitude.is_contiguous()
      assert edges.is_contiguous()
  
file_path: kornia/test/filters/test_canny.py
imports: import pytest
  import torch
  from kornia.filters import Canny, canny
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
  from kornia.utils._compat import torch_version
label_desc: Use image node_id 4 for calling the TestCanny obj's underlying member method code with example usage: obj.test_noncontiguous(batch_size, device, dtype) without return types